International Journal of Computer Science & Network Security
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v.22
no.10
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pp.17-24
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2022
The article proves that the main goal of informatization of higher education institutions in the EU countries is to improve the quality of education of future specialists by introducing digital educational resources into the education process. The main tasks of informatization of education are defined. Digital educational resources are interpreted as a set of data in digital form that is applicable for use in the learning process; it is an information source containing graphic, text, digital, speech, music, video, photo and other information aimed at implementing the goals and objectives of modern education; educational resources on the Internet, electronic textbooks, educational programs, electronic libraries, etc. The creation of digital educational resources is defined as one of the main directions of informatization of all forms and levels of Education. Types of digital educational resources by educational functions are considered. The factors that determine the effectiveness of using digital educational resources in the educational process are identified. The use of digital educational resources in the training of future specialists in the EU countries is considered in detail. European countries note that digital educational resources in professional use allow you to implement a fundamentally new approach to teaching and education, which is based on broad communication, free exchange of opinions, ideas, information of participants in a joint project, on a completely natural desire to learn new things, expand their horizons; is based on real research methods (scientific or creative laboratories), allowing you to learn the laws of nature, the basics of techniques, technology, social phenomena in their dynamics, in the process of solving vital problems, features of various types of creativity in the process of joint activities of a group of participants; promotes the acquisition by teachers of various related skills that can be very useful in their professional activities, including the skills of using computer equipment and various digital technologies.
The purpose of this article is to explain the conceptual changes that the notion of Haewon (解冤) has undergone by examining the evolution of the usages of Haewon. In order to achieve this purpose, I reviewed the conceptual connotations and denotations of Haewon contained in data from the Joseon Dynasty (Section 2), the Japanese colonial period (Section 3), and the scriptures and major preceding research of Daesoon Jinrihoe (Section 4). The research results described in this article are as follows. First, Haewon is a term with historical, social, and cultural characteristics. This means that Haewon, a term that has been used since the Joseon Dynasty, was a concept used to solve collective problems but could also be applied on the individual level. This further means that, if culture is regarded as a collective consciousness or as a collection of material products, Haewon would be a term that contained social and cultural aspirations. Second, Haewon is not a concept that has been impervious to innovation throughout its history. This can be confirmed by the fact that Haewon's scope of application has changed depending on the problem domain (legal, natural disasters, an institutional domain, etc.). Third, Haewon has converted into religious language a doctrinal system that came about after the emergence of Jeungsan. This means that previously the concept of Haewon was mainly used at the legal level in the Joseon Dynasty, but after the emergence of Jeungsan, it became a term in religious language and in doctrine. The materials of Daesoon Jinrihoe show that this concept of Haewon was expanded to be included at the doctrinal level. These research results show a historical shift in the ideological thought contained in the concept of Haewon. As a term in religious language that is included in a doctrinal system, Haewon has an extension of denotations that is applied to the world beyond individuals and societies, yet it maintains connotations of resolving grievances. This concept of Haewon mediates the transformation of the world and creates a rationale by which training and ethical practice are necessary components of that process of transformation.
Journal of the Korean Institute of Intelligent Systems
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v.12
no.6
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pp.517-523
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2002
In this paper, we propose system that apply VIBL method to add speech recognition to LIBL method based on human s studying method to use natural language to steering system of ship, MERCS and winch appliances and use VIBL method to alternate process that linguistic instruction such as officer s steering instruction is achieved via ableman and control steering gear, MERCS and winch appliances. By specific method of study, ableman s suitable steering manufacturing model embodies intelligent steering gear controlling system that embody and language direction base studying method to present proper meaning element and evaluation rule to steering system of ship apply and respond more efficiently on voice instruction of commander using fuzzy inference rule. Also we embody system that recognize voice direction of commander and control MERCS and winch appliances. We embodied steering manufacturing model based on ableman s experience and presented rudder angle for intelligent steering system, compass bearing arrival time, evaluation rule to propose meaning element of stationary state and correct steerman manufacturing model rule using technique to recognize voice instruction of commander and change to text and fuzzy inference. Also we apply VIBL method to speech recognition ship control simulator and confirmed the effectiveness.
According to Government Phonology, at 1 phonological positions save the domain's head must be licensed in order to appear in the syllable structure. A non-nuclear head is licensed by the following nucleus, and the nuclei with phonetic content are licensed through government by the nuclear head of the domain at the level of the nuclear projection. Therefore, in the theory of Government Phonology it is claimed that words always end with a nucleus. With regard to the licensing of empty nuclei, Kaye(1990a) proposes the 'Empty Category Principle' and its sub-theory of 'Projection Government'. Government Phonology claims that a nucleus which dominates a vowel that regularly undergoes elision in certain contexts is underlyingly empty. This underlying empty nucleus is not manifested phonetically when it is properly governed by an unlicensed(i, e, a nucleus filled with a full vowel). It is when proper government fails to apply, that the empty nucleus is phonetically Interpreted. The purpose of this paper is to present a principled account of the process of $[i]{\Leftrightarrow}{\emptyset}$ alternation in Korean. Following Kaye's proposal, we assume that [i] of Korean is underlyingly empty. This position is pronounced as [i] if it is unlicensed, and is not phonetically realized if is licensed. Empty nuclei ape devided into two categories: domain-internal and domain-final. Firstly, we consider the question why Korean has little word ending with [i]. As for this, ECP states that domain-final empty nuclei are not pronounced if the language licenses domain-final empty nuclei. Whether a final empty nucleus may occur in the structure is parametric variation. This property is seen from the fact that words may appear to end in consonants in this language. Since Korean abounds with words ending in a consonant, it licenses domain-final empty nuclei. Therefore, it is quite natural that Korean has little word ending with [i]. Secondly, word-internal empty nuclei of Korean respect proper government and inter-onset government. That is, an empty nucleus in word-internal position will be pronounced with the vowel [i] if either proper government or inter-onset government fail to apply. Inter-onset government refers to the government established between two onsets across an empty nucleus. Thirdly, we consider words ending with [i], which seems to be exceptional to the final licensing. Host of them are. either mono-syllabic verbs(for instance, [s'i-] 'to write') or derived adjectives ending with [p'i] (for instance, [kip'i-] 'be happy'). As for the former, the 'inaccessibility for proper government' is applied because the empty nucleus appears in the first syllable. In latter case, domain-final empty nuclei are pronounced as [i] because of government-licensing. That is, final empty nucleus is pronounced to license the preceding onset dominating negatively charmed segments which empty nucleus of Korean cannot license.
Park, Chanjun;Park, Kinam;Moon, Hyeonseok;Eo, Sugyeong;Lim, Heuiseok
Journal of the Korea Convergence Society
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v.12
no.5
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pp.23-29
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2021
Recent deep learning-based natural language processing studies are conducting research to improve performance by training large amounts of data from various sources together. However, there is a possibility that the methodology of learning by combining data from various sources into one may prevent performance improvement. In the case of machine translation, data deviation occurs due to differences in translation(liberal, literal), style(colloquial, written, formal, etc.), domains, etc. Combining these corpora into one for learning can adversely affect performance. In this paper, we propose a new Corpus Weight Balance(CWB) method that considers the balance between parallel corpora in machine translation. As a result of the experiment, the model trained with balanced corpus showed better performance than the existing model. In addition, we propose an additional corpus construction process that enables coexistence with the human translation market, which can build high-quality parallel corpus even with a monolingual corpus.
Journal of the Institute of Convergence Signal Processing
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v.24
no.1
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pp.42-50
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2023
The development of technology has achieved digital innovation throughout the media industry, including production techniques and editing technologies, and has brought diversity in the form of consumer viewing through the OTT service and streaming era. The convergence of big data and deep learning networks automatically generated text in format such as news articles, novels, and scripts, but there were insufficient studies that reflected the author's intention and generated story with contextually smooth. In this paper, we describe the flow of pictures in the storyboard with image caption generation techniques, and the automatic generation of story-tailored scenarios through language models. Image caption using CNN and Attention Mechanism, we generate sentences describing pictures on the storyboard, and input the generated sentences into the artificial intelligence natural language processing model KoGPT-2 in order to automatically generate scenarios that meet the planning intention. Through this paper, the author's intention and story customized scenarios are created in large quantities to alleviate the pain of content creation, and artificial intelligence participates in the overall process of digital content production to activate media intelligence.
Journal of the Korea Society of Computer and Information
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v.19
no.9
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pp.103-115
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2014
In this paper, we propose UniBAS(Unified Bug Analysis System) to provide a unified repository model by integrating the extracted data from the heterogeneous bug tracking systems. The UniBAS reduces the cost and complexity of the MSR(Mining Software Repositories) research process and enables the researchers to focus on their logics rather than the tedious and repeated works such as extracting repositories, processing data and building analysis models. Additionally, the system not only extracts the data but also automatically generates database tables, views and stored procedures which are required for the researchers to perform query-based analysis easily. It can also generate various types of exported files for utilizing external analysis tools or managing research data. A case study of detecting duplicate bug reports from the Firfox project of the Mozilla site has been performed based on the UniBAS in order to evaluate the usefulness of the system. The results of the experiments with various algorithms of natural language processing and flexible querying to the automatically extracted data also showed the effectiveness of the proposed system.
This paper is focused on the traditional sash weaving handicraft of‘She’ethnic group, which is located in Fujian, Zhejiang, Jiangxi, Guangdong province of China. This research is main-ly based on the field work, analyzed and inter-preted the traditional sash in systematic and reasoned way. The summary of this study are as follows : 1. On its technological aspect, weaving structure of the traditional sash is made of warp rod backed weaving. The used tool is primitive one but the weaving process includes scientific method. 2. From the social-cultural point of view, the sash ha been the symbol of love towards her lover. Every woman of this group had taken training for this sash weaving from a child. 3. On its ethnological aspect, it has been long history and has interchanged with other ethnic group like Miao, Han and also Okinawa country of Japan. The pattern inside this sash are almost looks like characters, but they are not Chinese characters whereas are the inde-pendent code of‘She’ group and have been inherent from ancestors and which will be tran-smitted to their posterity. These independent code of‘She’group are the traditional message to their later generation implicating their natural circumstances, human relationship, ethnic myth, spirit etc. 4. I recognize that the pattern inside the sash is defined as the communicative code and in comparison to language, it is more repetition and less apparent as close code. Nowadays China has been developed es-pecially in the economical fields rapidly. Under the circumstances traditional weaving culture of ethnic groups has been facing a crisis of disappearance, which will be a great loss for the country as well as the human beings. For this reason, I emphasize that it is very immediate to make co-researches into the material culture of Chinese ethnic groups.
Kim, Seon-Wu;Yu, Seok Jong;Lee, Min-Ho;Choi, Sung-Pil
Journal of the Korean Society for Library and Information Science
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v.51
no.4
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pp.77-97
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2017
A recent sharp increase of the biomedical literature causes researchers to struggle to grasp the current research trends and conduct creative studies based on the previous results. In order to alleviate their difficulties in keeping up with the latest scholarly trends, numerous attempts have been made to develop specialized analytic services that can provide direct, intuitive and formalized scholarly information by using various text mining technologies such as information extraction and event detection. This paper introduces and evaluates total 8 Convolutional Neural Network (CNN) models for extracting biomedical events from academic abstracts by applying various feature utilization approaches. Also, this paper conducts performance comparison evaluation for the proposed models. As a result of the comparison, we confirmed that the Entity-Type-Fully-Connected model, one of the introduced models in the paper, showed the most promising performance (72.09% in F-score) in the event classification task while it achieved a relatively low but comparable result (21.81%) in the entire event extraction process due to the imbalance problem of the training collections and event identify model's low performance.
Proceedings of the Korea Inteligent Information System Society Conference
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2001.01a
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pp.202-208
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2001
One of the most frequent uses of Internet is data gathering. Data can be about many themes but perhaps one of the most demanded fields is the tourist information. Normally, databases that support these systems are maintained manually. However, there is other approach, that is, to extract data automatically, for instance, from textual public information existing in the Web. This approach consists of extracting data from textual sources(public or not) and to serve them totally or partially to the user in the form that he/she wants. The obtained data can maintain automatically databases that support different systems as WAP mobile telephones, or commercial systems accessed by Natural Language Interfaces and others. This process has three main actors. The first is the information itself that is present in a particular context. The second is the information supplier (extracting data from the existing information) and the third is the user or information searcher. This added value chain reuse and give value to existing data even in the case that these data were not tough for the last use by the use of the described technology. The main advantage of this approach is that it makes independent the information source from the information user. This means that the original information belongs to a particular context, not necessarily the context of the user. This paper will describe the application based on this approach developed by the authors in the FLEX EXPRIT IV n$^{\circ}$EP29158 in the Work-package "Knowledge Extraction & Data mining"where the information captured from digital newspapers is extracted and reused in tourist information context.
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